Ito Calculus
Ito calculus is the stochastic integration and chain-rule framework used to transform diffusion processes in derivative pricing and continuous-time finance.
Finance-focused guides to Wiener processes, stochastic differential equations, and Ito calculus used in continuous-time valuation models.
Stochastic processes describe financial variables whose future paths are uncertain. Stochastic calculus supplies the rules used to transform and integrate those processes in continuous-time models. This branch focuses on the mathematical foundations needed to read models such as Black-Scholes and Vasicek without treating their assumptions as observed facts.
Start with the Wiener Process for the model of continuous random shocks. Continue to Ito Calculus for stochastic integration and the chain rule used with diffusion processes.
| Concept | Main question | Typical finance use |
|---|---|---|
| Wiener process | How are continuous random shocks represented? | Price, rate, and volatility models |
| Stochastic differential equation | How do drift and random shocks jointly change a state variable? | Specifying an asset-price or short-rate process |
| Ito integral | How is a changing exposure accumulated against random shocks? | Dynamic gains, hedging, and model derivations |
| Ito’s lemma | How does a function of a stochastic variable change? | Transforming prices and deriving derivative dynamics |
These tools describe a model, not a trading forecast. A diffusion may be mathematically coherent while fitting actual returns poorly.
The Black-Scholes Option Pricing Model applies stochastic calculus to an assumed stock-price diffusion. The Vasicek Interest Rate Model uses a mean-reverting diffusion for a short rate. Monte Carlo Simulation discretizes processes to approximate distributions and values numerically.
These pages are educational introductions to model mechanics. They do not validate a particular model, price, hedge, or investment decision.
Choose a subsection first. Deeper term pages live inside each subsection, which keeps large topic hubs readable.
Ito calculus is the stochastic integration and chain-rule framework used to transform diffusion processes in derivative pricing and continuous-time finance.
A Wiener process, or standard Brownian motion, models continuous random shocks used in diffusion-based option, rate, and risk models.